Title :
Unity-gain cumulant-based adaptive line enhancer
Author :
Gharieb, R.R. ; Horita, Y. ; Murai, T. ; Cichocki, A.
Author_Institution :
Lab. for Adv. Brain SIgnal Process., RIKEN, Saitama, Japan
Abstract :
In this paper, a unity-gain cumulant-based adaptive line enhancer (UGCBALE) is presented. This enhancer is formulated by adaptive filtering of the CBALE output to adjust the overall gain to unity. Owing to the unity-gain feature, this enhancer can be, for example, utilized as a sinusoidal interference canceller by subtracting the enhanced output from the noisy input. The UGCBALE is insensitive to Gaussian noise, either white or colored and its performance in the case of colored non-Gaussian noise has been extensively investigated. Simulation results are presented to show the effective performance of the UGCBALE in comparison with the conventional adaptive line enhancer (ALE) when the noise is a colored uniformly distributed random process (UDRP)
Keywords :
FIR filters; adaptive filters; adaptive signal processing; higher order statistics; interference suppression; random noise; FIR adaptive filters; adaptive filtering; colored Gaussian noise; colored non-Gaussian noise; sinusoidal interference canceller; uniformly distributed random process; unity-gain cumulant-based adaptive line enhancer; white Gaussian noise; Adaptive filters; Adaptive signal processing; Additive noise; Colored noise; Gaussian noise; Interference cancellation; Line enhancers; Noise cancellation; Random processes; Signal to noise ratio;
Conference_Titel :
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-5988-7
DOI :
10.1109/SSAP.2000.870201
